AI systems like AlphaGo develop heuristics through learning that are difficult for humans to understand or learn from, since machines and humans have different notions of simplicity. While humans can memorize AI moves, they struggle to internalize the underlying principles, and asking AI systems to explain their decisions may yield plausible-sounding but unreliable answers since they were optimized for performance, not interpretability.